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Location: Bengaluru, KA, India
Department: Engineering
Job Description
We are looking for a Staff Machine Learning Engineer to play a pivotal role within the AI team. This role goes beyond building models - you will set the technical direction and lead initiatives that push the boundaries of what's possible. You will combine deep research expertise with the ability to build production-grade ML systems at scale, partnering across engineering, product, and research to deliver transformative AI solutions.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
Responsibilities
Own end-to-end model development and deployment of embeddings, retrieval, ranking, and classification models in large-scale production environments.
Build and deploy relevance models that power our various recommender systems and personalized intent engines.
Explore novel approaches for machine learning ranking and modeling downstream impact, as well as new ways of creating new product features by leveraging the cutting edge machine learning techniques in Generative AI, NLP.
Keep scalability and performance in mind through your design and engineering choices.
Work directly with partner data science, product, and infrastructure teams to take your ideas from conception to production.
Mentor junior ML engineers in applying advanced machine learning techniques to core problems such as entity resolution, lead scoring, and search relevance.
Represent LinkedIn in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market.
Qualifications
Basic Qualifications
MS/PhD degree in Computer Science or related technical discipline, or equivalent practical experience.
8+ years of experience in machine learning, artificial intelligence, or related fields.
5+ years in an architect or technical leadership role driving large-scale AI initiatives.
Hands-on experience with end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and optimization.
Expertise in at least one of: LLMs, generative AI, search/recommendations, reinforcement learning, or large-scale deep learning.
Preferred Qualifications
10+ years of experience building and scaling machine learning systems in production.
Proven experience in pre-training and fine-tuning LLMs, including domain-specific adaptations.
Strong software engineering skills (Python, Java, C++, or similar), with the ability to design robust, scalable systems.
Track record of influencing product and technical strategy through AI/ML innovation.
Publications, patents, or open-source contributions in machine learning, NLP, or related areas.
Suggested Skills
Machine Learning
Large Language Models
Generative AI
Search & Recommendations
Reinforcement Learning
Technical Leadership
Cross-Functional Collaboration
You Will Benefit from Our Culture
We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
Additional Information
India Disability Policy
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
Global Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
India Disability Policy
LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
Global Data Privacy Notice and Compliance Posters for Job Candidates
Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.
Company Description
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.
Join us to transform the way the world works.
Most IT Jobs posts in Bangalore ask for 3–6 years of experience (41% of 3152 that say).
From live job posts on CoreHRx, updated 2 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹14L – ₹25L a year (typical for IT Jobs in Bangalore, 288 posts).
The post asks for 8 Yrs experience.
In Bangalore (hybrid).
It is a full time job.
You apply on LinkedIn's website. CoreHRx takes you there after you sign in.
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This guide is for Indian job seekers preparing for Java backend roles, from freshers facing campus and first-job interviews to experienced developers moving into senior positions at product companies and IT services firms. It covers what interviewers ask most in 2025 and 2026 on Java 17 and 21 and Spring Boot 3: OOP, collections, equals and hashCode, streams, exceptions, concurrency and JVM memory, then dependency injection, auto-configuration, REST controllers, validation, JPA and Hibernate, security, microservices and testing. Questions are grouped as easy, medium and hard. Read each answer, compile the code yourself and practise explaining it aloud.
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